Bio
EdD (Learning Analytics), MS and MPhil in Computer Science, 10+ years of experience in teaching Graduate and Undergraduate students.
Degree
EdD in Learning Analytics
National University
Other in Data Analysis
IIIT Bangalore,India
MS in Computer Science
Bharathiar University Coimbatore
BS in Physics
M G University
Published Works
- Geinitz, R. S., Rajan, R., Peprah, K., Schmidt, C. K., Singh, S., Jay, M. S. (). Generative AI as a Tool for Learning: Higher Education Student Perceptions and Performance across Disciplines. Springer.
- Rajan, R., C, R. (). Ethical Integration in Computer Science Education: Leveraging Open Educational Resources and Generative Artificial Intelligence for Enhanced Learning.. IEEE/PPIG.
- Rajan, R. . The pragmatism of evolving social presence in online discussion forums. ProQuest Dissertations & Theses A&I.
- McKinney, L., Sinley, C. R., Daughtrey, C., Ansburg, P., Rajan, R., Meyer, J., Lopez, R. J., Eaker, L. R. (2021). Faculty Are Our Allies in Teaching Career Preparation and Readiness Skills. National Association of Colleges and Employers Journal, www.naceweb.org
- Ansburg, P., Daughtrey, C., Eaker, L. R., Lopez, R. J., McKinney, L., Meyer, J., Rajan, R., Sinley, C. R. (2021, April (2nd Quarter/Spring)). Who should teach career preparation and career readiness skills?. Marketing Educators' Association Conference Proceedings 2021.
- Arundhathi, B., Athira, A., Rajan, R. (2017). A Study on Mutual Information-Based Feature Selection in Classifiers. (pp 479-486). Springer Singapore. https://doi.org/10.1007/978-981-10-3174-8_40
- Rajan, R. . A study on Mutual Information-based Feature Selection in Classifiers. . Springer Publications,
- Rajan, R. . An extensive study on data thinning in single and ensemble classifiers. International Journal of Pure and Applied Mathematics, Academic Publications.
Research Interests
My research interests are CS Education, Learning Analytics, and AI in Education,
Teaching Interests
I am passionate about teaching programming languages, algorithms, data science, and AI.
Office Hours
Fall 2025 Office Hours
M/W - 10 AM to 12:30 PM, In-person /MS Teams